Association of health behaviors with function and health-related quality of life among patients with Parkinson's disease.

BACKGROUND: Current evidence on chronic conditions favors promotion of health behaviors as a mean to positively impact health outcomes. In Parkinson's disease, performing health behaviors is indicated as a means to fight the long-lasting burden of the disease. Understanding actual engagement in health behaviors and patient activation and their association to function and health-related quality of life is therefore important. Our objectives were, among people with Parkinson's disease: (1) to characterize health behaviors including utilization of rehabilitative treatments, physical activity, and patient activation levels, and (2) to test the associations between these health behaviors and health outcomes. METHODS: A cross-sectional study of 88 people with Parkinson's disease (age 66.84 ± 8.8) was conducted. Participants answered questionnaires measuring health behaviors including utilization of health professions treatments, physical activity, patient activation, and health outcomes consisting of function and health-related quality of life. Linear regression models were conducted to test associations between measured health behaviors, function and health-related quality of life. RESULTS: Participants rarely engage in rehabilitative treatments, but showed high levels of patient activation. Controlled by demographics and disease severity, physical activity and patient activation were associated with function (b = 0.41, p < .001; b = 0.2, p = .02, respectively) and physical activity but not patient activation, which was associated with health-related quality of life (b = 0.19, p = .03). There was also interaction effects of physical activity and non-motor symptoms, and physical activity and motor symptoms on health-related quality of life (b = 0.19, p = .02 and b = - 0.22, p = .01, respectively). CONCLUSIONS: In respect to their potential health-related benefits for people with Parkinson's disease, health professionals' treatments are underutilized. Findings supported the importance of health behaviors for maintaining function and health-related quality of life among people with Parkinson's disease. They also show a differential contribution of motor and non-motor symptoms to the association between physical activity and quality of life. It is suggested that policy makers encourage opportunities for physical activity tailored for people with Parkinson's disease and adopt a proactive stance towards enhancing awareness and use of rehabilitation services. Trial registration NCT05211700, ClinicalTrials.gov ID: NCT05211700 first release 12/30/2021, https://classic. CLINICALTRIALS: gov/ct2/show/NCT05211700.

Socio-Clinical factors associated with Parkinson's disease-related specific self-management behaviours.

OBJECTIVE: To test associations between socio-clinical factors, self-management and patient activation among patients with Parkinson's disease (PD), and to explore the use of regression tree to find the cut-off levels of socio-clinical factors which associate with lower or higher self-management behaviours and patient's activation. METHODS: A cross-sectional study of patients with PD (n = 62) who underwent assessment of their socio-clinical factors including age, gender, cognitive status, comorbidities, disease severity (motor and non-motor symptoms) and social support. The associations of these factors to specific aspects of self-management behaviours including utilization of rehabilitative treatments, physical activity and patient activation were tested. RESULTS: Most patients did not utilize rehabilitative treatments. Non-motor symptoms and cognitive status were significantly associated with physical activity (R2 = 0.35, F(3, 58) = 10.50, p < 0.001). Non-motor symptoms were significantly associated with patient activation (R2 = 0.30, F(1, 30) = 25.88, p < 0.001). Patients with Mini-Mental State Exam score ≤24 performed less physical activity, relative to those with a higher score. Patients with ≤5 non-motor symptoms showed higher activation relative to those with >5. CONCLUSION: In PD, disease-specific clinical characteristics overshadow other personal factors as determinants of self-management behaviours. The role of non-motor symptoms in reduced self-management behaviours and activation is highlighted.

Electroencephalography functional connectivity-A biomarker for painful polyneuropathy.

BACKGROUND AND PURPOSE: Advanced analysis of electroencephalography (EEG) data has become an essential tool in brain research. Based solely on resting state EEG signals, a data-driven, predictive and explanatory approach is presented to discriminate painful from non-painful diabetic polyneuropathy (DPN) patients. METHODS: Three minutes long, 64 electrode resting-state recordings were obtained from 180 DPN patients. The analysis consisted of a mixture of traditional, explanatory and machine learning analyses. First, the 10 functional bivariate connections best differentiating between painful and non-painful patients in each EEG band were identified and the relevant receiver operating characteristic was calculated. Later, those connections were correlated with selected clinical parameters. RESULTS: Predictive analysis indicated that theta and beta bands contain most of the information required for discrimination between painful and non-painful polyneuropathy patients, with area under the receiver operating characteristic curve values of 0.93 for theta and 0.89 for beta bands. Assessing statistical differences between the average magnitude of functional connectivity values and clinical pain parameters revealed that painful DPN patients had significantly higher cortical functional connectivity than non-painful ones (p = 0.008 for theta and p = 0.001 for alpha bands). Moreover, intra-band analysis of individual significant functional connections revealed a positive correlation with average reported pain in the previous 3 months in all frequency bands. CONCLUSIONS: Resting state EEG functional connectivity can serve as a highly accurate biomarker for the presence or absence of pain in DPN patients. This highlights the importance of the brain, in addition to the peripheral lesions, in generating the clinical pain picture. This tool can probably be extended to other pain syndromes.

Empathy as a crucial skill in disrupting disparities in global brain health.

Brain health refers to the state of a person's brain function across various domains, including cognitive, behavioral and motor functions. Healthy brains are associated with better individual health, increased creativity, and enhanced productivity. A person's brain health is intricately connected to personal, social and environmental factors. Racial, ethnic, and social disparities affect brain health and on the global scale these disparities within and between regions present a hurdle to brain health. To overcome global disparities, greater collaboration between practitioners and healthcare providers and the people they serve is essential. This requires cultural humility driven by empathy. Empathy is a core prosocial value, a cognitive-emotional skill that helps us understand ourselves and others. This position paper aims to provide an overview of the vital roles of empathy, cooperation, and interdisciplinary partnerships. By consciously integrating this understanding in practice, leaders can better position themselves to address the diverse challenges faced by communities, promote inclusivity in policies and practices, and further more equitable solutions to the problem of global brain health.

Very early-onset behavioral variant frontotemporal dementia in a patient with a variant of uncertain significance of a FUS gene mutation.

The behavioral variant of Frontotemporal dementia (bvFTD) has typically a progressive course with cognitive and behavioral changes that manifests between 50 and 70 years. Very early-onset bvFTD with rapid progression is a rare syndrome under the frontotemporal lobar degeneration (FTLD) umbrella that has been associated with a variety of protein deposition and genetic mutations. We present a case of a 24-year-old man who developed behavioral symptoms and progressed with severe cognitive impairment and functional loss within months. Genetic testing identified a variant of uncertain significance (VUS) mutation in the FUS gene.

Brain Connectivity Predicts Chronic Pain in Acute Mild Traumatic Brain Injury.

OBJECTIVES: Previous studies have established the role of the cortico-mesolimbic and descending pain modulation systems in chronic pain prediction. Mild traumatic brain injury (mTBI) is an acute pain model where chronic pain is prevalent and complicated for prediction. In this study, we set out to study whether functional connectivity (FC) of the nucleus accumbens (NAc) and the periaqueductal gray matter (PAG) is predictive of pain chronification in early-acute mTBI. METHODS: To estimate FC, resting-state functional magnetic resonance imaging (fMRI) of 105 participants with mTBI following a motor vehicle collision was acquired within 72 hours post-accident. Participants were classified according to pain ratings provided at 12-months post-collision into chronic pain (head/neck pain ≥30/100, n = 44) and recovery (n = 61) groups, and their FC maps were compared. RESULTS: The chronic pain group exhibited reduced negative FC between NAc and a region within the primary motor cortex corresponding with the expected representation of the area of injury. A complementary pattern was also demonstrated between PAG and the primary somatosensory cortex. PAG and NAc also shared increased FC to the rostral anterior cingulate cortex (rACC) within the recovery group. Brain connectivity further shows high classification accuracy (area under the curve [AUC] = .86) for future chronic pain, when combined with an acute pain intensity report. INTERPRETATION: FC features obtained shortly after mTBI predict its transition to long-term chronic pain, and may reflect an underlying interaction of injury-related primary sensorimotor cortical areas with the mesolimbic and pain modulation systems. Our findings indicate a potential predictive biomarker and highlight targets for future early preventive interventions. ANN NEUROL 2022;92:819-833.

Cognitive dysfunction following COVID-19 infection.

The coronavirus (COVID-19) pandemic is still evolving, causing hundreds of millions of infections around the world. The long-term sequelae of COVID-19 and neurologic syndromes post COVID remain poorly understood. The present study aims to characterize cognitive performance in patients experiencing cognitive symptoms post-COVID infection. Patients evaluated at a post COVID clinic in Northern Israel who endorsed cognitive symptoms were referred for neurologic consultation. The neurologic work-up included detailed medical history, symptom inventory, neurological examination, the Montreal Cognitive Assessment (MoCA), laboratory tests and brain CT or MRI. Between December 2020 and June 2021, 46 patients were referred for neurological consultation (65% female), mean age 49.5 (19-72 years). On the MoCA test, executive functions, particularly phonemic fluency, and attention, were impaired. In contrast, the total MoCA score, and memory and orientation subscores did not differ from expected ranges. Disease severity, premorbid condition, pulmonary function tests and hypoxia did not contribute to cognitive performance. Cognitive decline may affect otherwise healthy patients post-COVID, independent of disease severity. Our examination identified abnormalities in executive function, attention, and phonemic fluency. These findings occurred despite normal laboratory tests and imaging findings.

Conditioned pain modulation is more efficient in patients with painful diabetic polyneuropathy than those with nonpainful diabetic polyneuropathy.

ABSTRACT: Endogenous pain modulation, as tested by the conditioned pain modulation (CPM) protocol, is typically less efficient in patients with chronic pain compared with healthy controls. We aimed to assess whether CPM is less efficient in patients with painful diabetic polyneuropathy (DPN) compared with those with nonpainful DPN. Characterization of the differences in central pain processing between these 2 groups might provide a central nervous system explanation to the presence or absence of pain in diabetic neuropathy in addition to the peripheral one. Two hundred seventy-one patients with DPN underwent CPM testing and clinical assessment, including quantitative sensory testing. Two modalities of the test stimuli (heat and pressure) conditioned to cold noxious water were assessed and compared between patients with painful and nonpainful DPN. No significant difference was found between the groups for pressure pain CPM; however, patients with painful DPN demonstrated unexpectedly more efficient CPMHEAT (-7.4 ± 1.0 vs -2.3 ± 1.6; P = 0.008). Efficient CPMHEAT was associated with higher clinical pain experienced in the 24 hours before testing (r = -0.15; P = 0.029) and greater loss of mechanical sensation (r = -0.135; P = 0.042). Moreover, patients who had mechanical hypoesthesia demonstrated more efficient CPMHEAT (P = 0.005). More efficient CPM among patients with painful DPN might result from not only central changes in pain modulation but also from altered sensory messages coming from tested affected body sites. This calls for the use of intact sites for proper assessment of pain modulation in patients with neuropathy.

Head- and neck-related symptoms post-motor vehicle collision (MVC): Separate entities or two-sides of the same coin?

BACKGROUND AND AIM: Although post-motor vehicle collision (MVC) pain and symptoms are largely convergent among those with mild traumatic brain injury (mTBI) and whiplash associated disorder (WAD), and patients oftentimes report initial neck and head complaints, the clinical picture of mTBI and WAD has been primarily studied as separate conditions which may result in an incomplete clinical picture. As such, this study was conducted to explore the role of pain and post-traumatic psychological features in explaining both head and neck-related symptom variability in a cohort of post-collision patients. This is with the goal of disentangling if contributory factors are uniquely related to each diagnosis, or are shared between the two. METHODS: Patients recruited in the very early acute phase (<72 h) returned for clinical and psychological assessment at 6 months post-accident. In order to determine which factors were unique and which ones were overlapping the same potential contributors: mean head pain, mean neck pain, female gender, number of post-collision painful body areas, PTSD, and depression were included in the regression models for both neck disability index (NDI) and Rivermead post-concussion symptoms questionnaire (RPQ). RESULTS: Of 223 recruited participants, 70 returned for a follow-up visit (age range 18-64, mean(SD) 37.6 (11.9), 29F). This cohort primarily met the criteria for mTBI, but also fulfilled the criteria for whiplash, reinforcing the duality of injury presentation. Correlations existed between the NDI and RPQ scores (Spearman's ρ=0.66, p<0.001), however overlap was only partial. Regression analysis showed that after the removal of area-of-injury pain neck related disability (r = 0.80, p <0.001) was explained solely by number of painful body areas (ß=0.52, p <0.001). In contrast, post-concussion syndrome symptoms (r = 0.86, p<0.001) are influenced by clinical pain, painful body areas (ß=0.31, p = 0.0026), female gender (ß=0.19, p = 0.0053), and psychological factors of depression (ß=0.31, p = 0.0028) and PTSD symptoms (ß=0.36, p = 0.0013). CONCLUSIONS: It seems that while mechanisms of neck- and head-related symptoms in post-collision patients do share a common explanatory feature, of residual body pain, they are not entirely overlapping. In that psychological factors influence post-concussion syndrome symptoms, but not post-whiplash neck disability.